South Korea experiences numerous local sedimentation problems, such as landslides, upland erosion, aggradation and degradation, and flood plain sediment deposition. This has …
W Kang, K Lee, E Jang - Applied Sciences, 2022 - mdpi.com
This study evaluated the applicability of existing sediment yield and transport estimation models developed using data mining classification and prediction techniques and validated …
VK Sampath, N Radhakrishnan - Modeling Earth Systems and …, 2024 - Springer
Erosion has become one of the serious problems in recent years as the degradation of the valuable natural resource of soil is a major ecological threat that can cause various …
W Kang, B So, S Kim, JH Lee, E Jang… - KSCE Journal of Civil …, 2024 - Springer
In this study, the existing empirical models for sediment management for ungauged watersheds in South Korea developed in 2019 were updated. The existing models were …
W Kang, K Lee, J Kim - Applied Sciences, 2022 - mdpi.com
Sediment measurement data are essential for sediment transport analysis and therefore highly important in overall river planning. Extant sediment measurement methods consume …
EK Jang, U Ji, W Yeo - Hydrological Sciences Journal, 2023 - Taylor & Francis
The model tree (MT) approach, a data mining technique used to analyse relationships between input and output variables in a disordered and large database, was adopted in this …
K Woochul - Ecology and Resilient Infrastructure, 2022 - koreascience.kr
This study attempted classification through deep learning-based image training for land cover classification in river spaces which is one of the important data for efficient river …
W Kang, H Choe, E Jang, D Ko, J Kang… - Ecology and Resilient …, 2021 - koreascience.kr
This study examines the use of satellite images for river classification and determination of stream reach, which is the first priority in the river environment assessment system. In the …